Paper Citation Record · LEDGER

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2507.03992.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.03992 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:03:41.586478Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy24
unresolved1
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 51c54aa3-defe-44e4-b301-fa665240e955 · outbound

This paper cites Billard, S.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Billard, S

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:47.051543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fe25128c-f9e3-44e0-85db-3115ad34d2e2 · outbound

This paper cites A survey of robot learning from demonstration,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems A survey of robot learning from demonstration,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:46.786356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c003d35b-26e8-421b-87bb-419672dbebae · outbound

This paper cites Recent advances in robot learning from demonstration,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Recent advances in robot learning from demonstration,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:46.598847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e17ce255-7342-4b02-b23a-e87471327be4 · outbound

This paper cites Billard, S.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Billard, S

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:46.307998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9b2c9b79-2611-41cc-8a56-d7977eb35d14 · outbound

This paper cites Learning augmented joint-space task-oriented dynamical systems: a linear pa- rameter varying and synergetic control approach,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Learning augmented joint-space task-oriented dynamical systems: a linear pa- rameter varying and synergetic control approach,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:46.007805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a2314c4f-7b2a-4181-bc52-c18988309ed6 · outbound

This paper cites Orientation in Carte- sian space dynamic movement primitives,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Orientation in Carte- sian space dynamic movement primitives,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:45.787400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5e8052fe-75ae-4c18-b168-a2244a812f8e · outbound

This paper cites Gaussian mixture model for 3-dof orientations,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Gaussian mixture model for 3-dof orientations,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:45.631277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f94ef08-5047-4423-9a52-69e31d59733d · outbound

This paper cites An approach for imitation learning on Riemannian manifolds,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems An approach for imitation learning on Riemannian manifolds,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:45.306815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 74068073-78ec-495e-9528-0c9d583fbdc5 · outbound

This paper cites A physically-consistent Bayesian non- parametric mixture model for dynamical system learning,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems A physically-consistent Bayesian non- parametric mixture model for dynamical system learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:45.049109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2c4851db-f1e8-4693-9e5e-73a8d10ad129 · outbound

This paper cites Locally active globally stable dynamical systems: theory, learning, and experiments,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Locally active globally stable dynamical systems: theory, learning, and experiments,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:44.864034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 974d3f45-e791-4d17-9e3b-9e9a9d9e60a9 · outbound

This paper cites On the NP-hardness of solving bilinear matrix inequalities and simultaneous stabilization with static output feedback,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems On the NP-hardness of solving bilinear matrix inequalities and simultaneous stabilization with static output feedback,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:44.608169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae89ab6d-9f11-412b-b915-d21ffd5e2f0f · outbound

This paper cites Branch-and-cut algorithms for the bilinear matrix inequality eigenvalue problem,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Branch-and-cut algorithms for the bilinear matrix inequality eigenvalue problem,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:44.420433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9af1fc09-5baa-453e-ac7d-38a517d40308 · outbound

This paper cites Validating nu- merical semidefinite programming solvers for polynomial invariants,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Validating nu- merical semidefinite programming solvers for polynomial invariants,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:44.171320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5f933cc9-7f0d-4106-9598-35348436d4c0 · outbound

This paper cites Learning Lyapunov-stable polynomial dynamical systems through imitation,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Learning Lyapunov-stable polynomial dynamical systems through imitation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:43.947238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1ca62ee1-cba7-4f65-a45f-c7073ffaf48c · outbound

This paper cites Learning barrier-certified polynomial dynamical systems for obstacle avoidance with robots,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Learning barrier-certified polynomial dynamical systems for obstacle avoidance with robots,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:43.649345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a082ca24-4f46-44aa-b131-54149d331db7 · outbound

This paper cites Learning stable nonlinear dynamical systems with Gaussian mixture models,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Learning stable nonlinear dynamical systems with Gaussian mixture models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:43.447375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 55f4cd68-8214-46d8-8738-6aa4ad16a8d4 · outbound

This paper cites Learning stable deep dynamics models,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Learning stable deep dynamics models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:43.238461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8bf612cd-f05f-4730-9cb9-22e2197a2ea8 · outbound

This paper cites Euclideanizing flows: Diffeomorphic reduction for learning stable dynamical systems,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Euclideanizing flows: Diffeomorphic reduction for learning stable dynamical systems,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:43.022670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a6b3b01-2ee7-4d17-8a63-0a7b8f25c52c · outbound

This paper cites Almost surely stable deep dynamics,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Almost surely stable deep dynamics,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:42.837720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2888f055-24cd-467f-a36d-b237dc573bc1 · outbound

This paper cites Globally stable neural im- itation policies,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Globally stable neural im- itation policies,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:42.627156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 86e2b41c-624f-400b-ada8-66427ac7c030 · outbound

This paper cites Arcak, C.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Arcak, C

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:42.398145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 44fa18fa-345c-4c1b-85d9-d63ae71de668 · outbound

This paper cites PENLAB: A MATLAB solver for nonlinear semidefinite optimization.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems PENLAB: A MATLAB solver for nonlinear semidefinite optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:03:41.343486Z

Source-reported events for the cited work

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Observation 22923f97-8867-45df-a63e-5ab21685afa0 · outbound

This paper cites Compliant control of uni/multi-robotic arms with dynamical systems,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Compliant control of uni/multi-robotic arms with dynamical systems,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:42.187457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91758ddd-cce0-4d91-8b69-ddbc6320e183 · outbound

This paper cites Y ALMIP: A toolbox for modeling and optimization in MATLAB,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems Y ALMIP: A toolbox for modeling and optimization in MATLAB,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:42.033271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 99115c24-a046-47f5-b2cf-cb8cc5cd3fff · outbound

This paper cites The Franka Emika robot: A reference platform for robotics research and education,.

Scalable Learning of High-Dimensional Demonstrations with Composition of Linear Parameter Varying Dynamical Systems The Franka Emika robot: A reference platform for robotics research and education,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:41.823305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.